Apply by :
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:
- To see what life at Capitec is all about and complete a short assessment, please click here! .
- Once you have completed the above, finalize your application by clicking apply below.
Purpose Statement
- To build value for the product line by solving client and business challenges using data.
- To utilise data and analytical skills and experience to build insights which enable senior decision makers to make better, informed decisions faster.
- Productionise insights to be consumed across teams (focus on building reusable data assets).
- To build an understanding of various business domains and relevant products, to address queries and execute analytical tasks.
- To collaborate with cross-functional teams to identify business opportunities.
Education (Minimum)
- A relevant tertiary qualification in Business Administration or Statistics.
- Grade 12 National Certificate / Vocational.
Education (Ideal or Preferred)
- Certification in Business Analysis.
Knowledge and Experience
Minimum Experience:
- At least 3 years’ experience as Business Intelligence Analyst or equivalent Data role (Data Analyst, etc.); including experience in Data Analytics, BI methods and tools, Data Warehousing, and the Data Product Life Cycle.
- Identifying, quantifying, and subsequently delivering value on how to solve business challenges using data.
- Stakeholder engagement.
- Building Data Visualisations using tools such as Power BI.
- Intermediate to advanced SQL skills: Using SQL to prepare and analyse data (e.g., indexes, query plans, foreign key constraints, common table expressions, etc.).
- Coding and performing code reviews.
- ETL (extraction, transform, load) data flow, and traceability.
- Documentation.
Minimum Knowledge:
- Knowledge and basic experience in using low/no code AutoML on modelling tools such as Power BI or AWS Sagemaker.
- Design thinking.
- Dimensional Modelling.
- The Data Product Life Cycle (DPLC).
- Data privacy and security regulations and best practices.
- Data quality and incident management.
- Agile project management methodology.
- Data management.
Ideal Experience / Knowledge:
- Having relevant industry certifications (e.g., CompTIA Data+; Certified Analytics Professional (CAP); Associate Certified Analytics Professional (aCAP); Google Data Analytics Professional Certificate; Microsoft Certified; Power BI Data Analyst/Associate; and/or AWS Certified Data Analytics).
- Working with data on Cloud platforms (such as AWS or Microsoft Azure).
- Previous experience working in Business Analysis / Data Analysis in the financial/banking sector.
- Knowledge of change management principles and practices.
- Mentoring colleagues.
Skills
- Commercial Thinking Skills.
- Facilitation Skills.
- Numerical Reasoning skills.
- Presentation Skills.
- Problem solving skills.
- Attention to Detail.
- Planning, organising and coordination skills.
- Communications Skills.
- Interpersonal & Relationship management Skills.
- SQL Skills.
Additional Information
- Clear criminal and credit record.
Capitec is committed to diversity and, where feasible, all appointments will support the achievement of our employment equity goals.
#J-18808-Ljbffr